{"id":"https://openalex.org/W3138883196","doi":null,"title":"Utilization of machine learning algorithms to support retail chain store location decisions","display_name":"Utilization of machine learning algorithms to support retail chain store location decisions","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3138883196","mag":"3138883196"},"language":"en","primary_location":{"id":"pmh:oai:scholarworks.uni.edu:etd-2051","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.uni.edu/etd/1048","pdf_url":"https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2051&context=etd","source":{"id":"https://openalex.org/S4377196489","display_name":"UNI ScholarWorks (University of Northern Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119234918","host_organization_name":"University of Northern Iowa","host_organization_lineage":["https://openalex.org/I119234918"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations and Theses @ UNI","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2051&context=etd","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065298131","display_name":"Petr Grin","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Petr Grin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5065298131"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.3075999915599823,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.3075999915599823,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.2304999977350235,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.1348000019788742,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geomarketing","display_name":"geomarketing","score":0.7269999980926514},{"id":"https://openalex.org/keywords/maxent","display_name":"MaxEnt","score":0.6290000081062317},{"id":"https://openalex.org/keywords/ecological-niche-modeling","display_name":"ecological niche modeling","score":0.7440000176429749},{"id":"https://openalex.org/keywords/retail-location-choice","display_name":"store location selection","score":0.621999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5999139547348022},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.4459460973739624},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.43040451407432556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4050324857234955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3956824839115143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3783639669418335},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35818666219711304},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3230440318584442},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:scholarworks.uni.edu:etd-2051","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.uni.edu/etd/1048","pdf_url":"https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2051&context=etd","source":{"id":"https://openalex.org/S4377196489","display_name":"UNI ScholarWorks (University of Northern Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119234918","host_organization_name":"University of Northern Iowa","host_organization_lineage":["https://openalex.org/I119234918"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations and Theses @ UNI","raw_type":"text"},{"id":"mag:3138883196","doi":null,"is_oa":false,"landing_page_url":"https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2051&context=etd","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:scholarworks.uni.edu:etd-2051","doi":null,"is_oa":true,"landing_page_url":"https://scholarworks.uni.edu/etd/1048","pdf_url":"https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2051&context=etd","source":{"id":"https://openalex.org/S4377196489","display_name":"UNI ScholarWorks (University of Northern Iowa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I119234918","host_organization_name":"University of Northern Iowa","host_organization_lineage":["https://openalex.org/I119234918"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dissertations and Theses @ UNI","raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138883196.pdf","grobid_xml":"https://content.openalex.org/works/W3138883196.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W50016565","https://openalex.org/W357786042","https://openalex.org/W592737779","https://openalex.org/W627147762","https://openalex.org/W629041471","https://openalex.org/W945780324","https://openalex.org/W1502775434","https://openalex.org/W1595983213","https://openalex.org/W1751153847","https://openalex.org/W1977913282","https://openalex.org/W2000326404","https://openalex.org/W2014343017","https://openalex.org/W2015768982","https://openalex.org/W2016207894","https://openalex.org/W2016382728","https://openalex.org/W2018112619","https://openalex.org/W2024304582","https://openalex.org/W2032558547","https://openalex.org/W2033686454","https://openalex.org/W2035143634","https://openalex.org/W2037668591","https://openalex.org/W2054094118","https://openalex.org/W2062243858","https://openalex.org/W2065509880","https://openalex.org/W2083822022","https://openalex.org/W2095203407","https://openalex.org/W2095210161","https://openalex.org/W2101806609","https://openalex.org/W2112891611","https://openalex.org/W2139416101","https://openalex.org/W2147373555","https://openalex.org/W2147531279","https://openalex.org/W2160052430","https://openalex.org/W2163341565","https://openalex.org/W2165418306","https://openalex.org/W2280163689","https://openalex.org/W2315176034","https://openalex.org/W2487770199","https://openalex.org/W2598320237","https://openalex.org/W2787585543","https://openalex.org/W2790759421","https://openalex.org/W2804222922","https://openalex.org/W2885357524","https://openalex.org/W2901906577","https://openalex.org/W2911964244","https://openalex.org/W2912411919","https://openalex.org/W2913224831","https://openalex.org/W2984508095","https://openalex.org/W4236362309"],"related_works":["https://openalex.org/W4416817090","https://openalex.org/W3044528423","https://openalex.org/W2611928770","https://openalex.org/W2336279811","https://openalex.org/W2928939180","https://openalex.org/W1903429117","https://openalex.org/W3087877006","https://openalex.org/W6982037839","https://openalex.org/W4238875940","https://openalex.org/W7217122403"],"abstract_inverted_index":{"Businesses":[0],"use":[1],"GIS":[2],"software":[3],"to":[4,9,12,38,45,61,100,196,262,277,314,318,369,377,380],"build":[5],"spatial":[6],"business":[7,83],"models":[8,285],"have":[10],"possibility":[11],"analyze":[13],"customers,":[14],"competitors":[15],"or":[16,51,109,157],"markets":[17],"not":[18,140],"only":[19],"in":[20,26,31,111,124,229,264,298,352,358],"terms":[21,27],"of":[22,28,54,82,92,104,107,165,174,203,211,257,268,283,324,330,341,344,363],"finance,":[23],"but":[24,159,259],"also":[25],"their":[29,347],"behavior":[30],"space.":[32],"Specifically,":[33],"geomarketing":[34,58,215,247],"methods":[35],"are":[36,77,153,301,327],"used":[37,99,195,252,276,297],"maximize":[39],"profit":[40],"when":[41,288],"searching":[42],"for":[43,79,178,214,222,246],"places":[44],"open":[46],"new":[47,316],"factories,":[48],"shops,":[49],"restaurants,":[50],"expand":[52,319],"chain":[53,224],"cafes.":[55],"The":[56,249,292],"main":[57,293,322],"approach":[59,185],"is":[60,98,139,160],"identify":[62],"the":[63,74,87,102,122,137,143,148,163,166,209,219,266,269,281,284,299,307,328,339,353,356,370,374],"optimal":[64,201],"location":[65,138],"based":[66,146,302],"on":[67,73,147,162,303],"socio-economic":[68],"data,":[69,345,364],"as":[70,72,155,200,232,336,338,346],"well":[71,337],"criteria":[75],"that":[76,152,237,295,306,372],"necessary":[78,156],"this":[80,325],"type":[81,91],"(suitability":[84],"model).":[85],"Traditionally":[86],"Maxent":[88,213],"model,":[89],"a":[90,179,253,360],"an":[93,233],"ecological":[94],"niche":[95],"model":[96,251],"(ENM),":[97],"forecast":[101],"distribution":[103,190],"different":[105,280,290],"species":[106,189],"animals":[108],"plants":[110],"biological":[112],"science.":[113],"This":[114,206],"machine-learning":[115],"algorithm":[116],"uses":[117,312],"data":[118],"from":[119,334],"points":[120],"where":[121],"phenomenon":[123],"question":[125],"has":[126,186,192],"already":[127,193],"been":[128,194],"found":[129],"and":[130,150,191,239,332],"selects":[131],"locations":[132,202,221,228,317],"with":[133],"similar":[134],"characteristics.":[135],"Thus,":[136],"determined":[141],"by":[142,171],"expert":[144],"choice,":[145],"conditions":[149],"factors":[151],"perceived":[154],"beneficial,":[158],"identified":[161],"basis":[164],"machine":[167],"learning":[168],"algorithms":[169],"driven":[170],"statistical":[172],"assessment":[173],"existing":[175],"locational":[176],"information":[177],"given":[180],"species..":[181],"However,":[182],"his":[183],"modeling":[184],"applications":[187],"beyond":[188],"examine":[197],"other":[198],"phenomena,such":[199],"wind":[204],"turbines.":[205],"study":[207,300],"tests":[208],"opportunities":[210],"using":[212,226,289],"applications,":[216],"specifically":[217],"determining":[218],"\u2018best\u2019":[220],"coffee":[223,309],"restaurants":[225],"Biggby":[227,308],"Michigan":[230],"State":[231],"example.The":[234],"results":[235,282],"indicate":[236],"Maxet":[238],"EMN":[240],"principles":[241],"could":[242],"be":[243,287,378],"potentially":[244],"useful":[245],"applications.":[248],"resultant":[250],"very":[254],"limited":[255],"number":[256],"variables":[258,294],"was":[260,355,366,376],"able":[261],"demonstrate":[263],"principle":[265],"utility":[267],"method.":[270],"Also,":[271],"2":[272],"cell":[273],"scales":[274],"were":[275,296],"compare":[278],"how":[279],"can":[286],"scales.":[291],"those":[304],"indicators":[305],"shop":[310],"network":[311],"directly":[313],"find":[315],"its":[320],"chain.The":[321],"limitations":[323],"analysis":[326,375],"lack":[329],"contact":[331],"support":[333],"Biggby,":[335],"inaccessibility":[340],"certain":[342],"types":[343],"traffic":[348],"intensity.":[349],"Another":[350],"limitation":[351],"work":[354],"difficulty":[357],"processing":[359],"large":[361],"amount":[362],"which":[365],"formed":[367],"due":[368],"fact":[371],"initially":[373],"applied":[379],"4":[381],"states.":[382]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-03-29T00:00:00"}
